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• W1995283899 abstract "Simulation-based study is one of the major methods for evacuation planning. How to quickly build an origin-destination (OD) matrix from each source zone to their nearest destination becomes an issue. In this paper, the authors propose a new problem - Multiple-Source, Nearest Destination, Shortest Path (MSNDSP) - for generating an OD matrix in evacuation assignments. Compared to a benchmark study using Dijkstra's algorithm, the authors propose a new Super Node-based Trip Generator (SNTG) algorithm to improve the computing performance. The new algorithm significantly reduces the computational time through transforming the MSNDSP problem to a normal single-source, shortest path problem with a super-node concept. Experimental studies using real-world street networks and high-resolution LandScan USA population data indicate that the SNTG algorithm can provide OD output identical to the benchmark study, but the computing time is about 500 to 45,000 times faster in different network sizes. Discussion of this algorithm in other applications is also conducted." @default.
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• W1995283899 date "2014-06-24" @default.
• W1995283899 modified "2023-09-27" @default.
• W1995283899 title "A Multiple-Source, Nearest Destination, Shortest Path Problem in Evacuation Assignments" @default.
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• W1995283899 doi "https://doi.org/10.1061/9780784413623.353" @default.
• W1995283899 hasPublicationYear "2014" @default.
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